A parallel network simulation and virtual time-based network emulation testbed

D Jin, Y Zheng and D M Nicol

Journal of Simulation, 2014, vol. 8, issue 3, 206-214

Abstract: To analyse large-scale systems with high fidelity, it is necessary for a network testbed to offer both realistic emulation (to represent software execution) and effective simulation (to model background computation and communication). We present a network testbed that integrates a lightweight emulation system (modified earlier to operate in virtual time) with a parallel discrete event network simulator. Our contributions lie in the design of a global synchronization algorithm to manage virtual time as it transitions from emulation to simulation, and back. In particular, we optimize our previous algorithm to reduce overhead of synchronizations across simulation and emulation. We also address the unavoidable uncertainties introduced by the emulation by obtaining analytical bounds for the error, and produce empirical data showing that the error is as small as the minimum system execution unit. In addition, we observe excellent system scalability with large-scale network experiments, and demonstrate the performance improvement of the optimized global synchronization algorithm.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1057/jos.2013.29 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:8:y:2014:i:3:p:206-214

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20

DOI: 10.1057/jos.2013.29

Access Statistics for this article

Journal of Simulation is currently edited by Christine Currie

More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().